A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems

Kawahara, Yoshinobu, Yairi, Takehisa, Machida, Kazuo

Neural Information Processing Systems 

We construct the theoretical underpinning and derive a concrete algorithm for nonlinear identification.

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